The estimation algorithm for component health parameter of turbofan engine

For the measurements selection in the component health parameter estimation of turbofan engine, the paper proposes an optimization method. It gives a combination of measurement parameters selection through the health parameters correlation analysis and the condition number of coefficient matrix analysis. The linear estimation method of components health parameters is presented on the basis of measurement selection. At the same time, in order to solve the on-line real-time evaluation of health parameters in engineering, the paper augments the health parameters into state equation. The Kalman filter algorithm can still estimate the health parameters accurately using the chosen measurement parameters. It proves the correctness and effectiveness of the optimization method.